01788nam 2200397Ia 450 99638375530331620200824132601.0(CKB)1000000000582093(EEBO)2240974547(OCoLC)ocm12569638e(OCoLC)12569638(EXLCZ)99100000000058209319850918d1641 uy |engurbn||||a|bb|An answer to a booke entitvled An hvmble remonstrance[electronic resource] in which the originall of liturgy, episcopacy is discussed : and quares propounded concerning both : the parity of bishops and presbyters in Scripture demonstrated : the occasion of their imparity in antiquity discovered : the disparity of the ancient and our moderne bishops manifested : the antiquity of ruling elders in the church vindicated : the prelaticall church bownded /written by SmectymnvvsFirst edition.London Printed for I. Rothwell and are to be sold by T.N. ...1641[2], 104 p"A postscript" by John Milton? : p. 85-95 (i.e. 95-104)Wing attributes authorship to Stephen Marshall, who with Edmund Calamy, Thomas Young, Matthew Newcomen and William Spurstowe, wrote under the pseudonym Smectymnuus.Reproduction of original in Thomason Collection, British Library.eebo-0158EpiscopacyEarly works to 1800EpiscopacySmectymnuus1001660Milton John1608-1674.308340EAAEAAm/cUMIWaOLNBOOK996383755303316An answer to a booke entitvled An hvmble remonstrance2420654UNISA03609nam 2200493 450 99641825870331620220623181642.03-030-56485-110.1007/978-3-030-56485-8(CKB)4100000011435818(DE-He213)978-3-030-56485-8(MiAaPQ)EBC6348281(PPN)250221268(EXLCZ)99410000001143581820210216d2020 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierRandom forests with R /Robin Genuer, Jean-Michel Poggi1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (X, 98 p. 49 illus., 5 illus. in color.)Use R!,2197-57363-030-56484-3 Introduction -- CART trees -- Random forests -- Variable importance -- Variable selection -- References.This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In addition, they allow us to consider qualitative and quantitative explanatory variables together, without pre-processing. Moreover, they can be used to process standard data for which the number of observations is higher than the number of variables, while also performing very well in the high dimensional case, where the number of variables is quite large in comparison to the number of observations. Consequently, they are now among the preferred methods in the toolbox of statisticians and data scientists. The book is primarily intended for students in academic fields such as statistical education, but also for practitioners in statistics and machine learning. A scientific undergraduate degree is quite sufficient to take full advantage of the concepts, methods, and tools discussed. In terms of computer science skills, little background knowledge is required, though an introduction to the R language is recommended. Random forests are part of the family of tree-based methods; accordingly, after an introductory chapter, Chapter 2 presents CART trees. The next three chapters are devoted to random forests. They focus on their presentation (Chapter 3), on the variable importance tool (Chapter 4), and on the variable selection problem (Chapter 5), respectively. After discussing the concepts and methods, we illustrate their implementation on a running example. Then, various complements are provided before examining additional examples. Throughout the book, each result is given together with the code (in R) that can be used to reproduce it. Thus, the book offers readers essential information and concepts, together with examples and the software tools needed to analyse data using random forests. .Use R!,2197-5736Mathematical statisticsR (Computer program language)Mathematical statistics.R (Computer program language).519.5Genuer Robin1015115Poggi Jean-Michel1960-MiAaPQMiAaPQMiAaPQBOOK996418258703316Random forests with R2368791UNISA01316nam0 22002771i 450 UON0010601620231205102615.23920020107d1922 |0itac50 baengIN|||| 1||||Brahmanas. AitareyabrahmanaIn inglese]the Aitareya Brahmanam of the Rigveda. Containing the Earliest Speculations of the Brahmans on the Meaning of the Sacrifical Prayers and on the origin, performance and sense of the Rites of the Vedic Religionedited by...Martin HaugRep. New YorkAMSAllahabadSudhindra Nath Vasu1922LV, 368 p., c. di tav.22 cm001UON000080992001 ˆThe ‰Sacred Books of the Hindus SeriesEV 4INAllahabadUONL000114SI VII ASubcontinente indiano - Religione e filosofia - HinduismoAHAUGMartinUONV000452Sudhindra Nath VasuUONV261288650ITSOL20250711RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00106016SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SI VII A 257 SI SA 38081 5 257 Brahmanas. Aitareyabrahmana1306114UNIOR